Zerrendatu Ikerketa-Artikuluak honen arabera: izenburua

Impregnation quality diagnosis in Resin Transfer Moulding by machine learning

Mendikute, Julen; Plazaola Madinabeitia, Joanes; Baskaran, Maider; Zugasti, Ekhi; Aretxabaleta, Laurentzi; Aurrekoetxea, Jon (Elsevier Ltd., 2021)

In recent years, several optimization strategies have been developed which reduce the overall defectiveness of the RTM manufactured part. RTM filling simulations showed that, even using optimized injection strategies, local ...

An Improved Explicit Reference Modeling Methodology for Parametric Design

Aranburu, Aritz; Justel Lozano, Daniel (Elsevier, 2023)

The use of formal methodologies for parametric modeling has been shown to significantly improve the robustness and reusability of feature-based CAD models, particularly in response to changes, which has implications in the ...

Improving fuzzing assessment methods through the analysis of metrics and experimental conditions

Iturbe, Mikel (Elsevier, 2023)

Fuzzing is nowadays one of the most widely used bug hunting techniques. By automatically generating malformed inputs, fuzzing aims to trigger unwanted behavior on its target. While fuzzing research has matured considerably ...

Improving Programming Learning in Engineering Students Through Discovery Learning

Aldalur, Iñigo; Sagarna Arrizabalaga, Xabier (IEEE, 2023)

Programming is basic to all engineering studies and a complicated subject for many first-year students. Many of the problems stem from the difficulty students have in finding the solution they need on the Internet, which ...

Improving surface integrity when drilling CFRPs and Ti-6Al-4V using sustainable lubricated liquid carbon dioxide

rodriguez, Iñigo; ARRAZOLA, PEDRO JOSE; CUESTA ZABALAJAUREGUI, MIKEL (Elsevier, 2022)

In the quest for decreasing fuel consumption and resulting gas emissions in the aeronautic sector, lightweight materials such as Carbon Fiber Reinforced Polymers (CFRPs) and Ti-6Al-4V alloys are being used. These materials, ...

Improving Waiting Time and Energy Consumption Performance of a Bi- objective Genetic Algorithm embedded in an Elevator Group Control System through passenger flow estimation

Basagoiti, Rosa (Springer, 2022)

Passenger waiting time is a significant issue related to the quality of service of a multiple lift system; however, energy consumption reduction is also an important concern in the lift industry. In this paper, we evaluate ...

In-Line Dimensional Inspection of Warm-Die Forged Revolution Workpieces Using 3D Mesh Reconstruction

Alonso, Marcos; Izaguirre Altuna, Alberto (MDPI, 2019)

Industrial dimensional assessment presents instances in which early control is exerted among “warm” (approx. 600 ºC) pieces. Early control saves resources, as defective processes are timely stopped and corrected. Existing ...

In-SEM micro-machining reveals the origins of the size effect in the cutting energy

Ortiz-de-Zarate, Gorka; Sela, Andrés; ARRIETA, Iñaki Mirena; ARRAZOLA, PEDRO JOSE (Springer Nature, 2021)

High-precision metal cutting is increasingly relevant in advanced applications. Such precision normally requires a cutting feed in the micron or even sub-micron dimension scale, which raises questions about applicability ...

In-situ analysis of the elastic-plastic characteristics of high strength dual-phase steel

Mendiguren, Joseba (Elsevier, 2022)

Modeling the elastic behavior of dual-phase steels is complex due to the strain dependency of Young's modulus and high elastic nonlinearity. Since it is assumed that reasons for this are to be found in microstructural ...

Incidental changes in orthographic processing in the native language as a function of learning a new language late in life

Antón, Eneko (Taylor & Francis Group, 2020)

Acquiring a second alphabetic language also entails learning a new set of orthographic rules and specific patterns of grapheme combinations (namely, the orthotactics). The present longitudinal study aims to investigate ...

Inclined bodies that imagine

Rozas Elizalde, Ixiar (Universidad Complutense de Madrid, 2020)

This text links the trajectory of American choreographer Steve Paxton with specific aspects of the thinking of Adriana Cavarero and Donna Haraway. For decades, Paxton has researched the human body through the experience ...

Incorporation of Synthetic Data Generation Techniques within a Controlled Data Processing Workflow in the Health and Wellbeing Domain

Alberdi Aramendi, Ane; Larrea Lizartza, Xabat (MDPI, 2022)

To date, the use of synthetic data generation techniques in the health and wellbeing domain has been mainly limited to research activities. Although several open source and commercial packages have been released, they have ...

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